# Animation Budgets — Trailing Mean Series + IQR Outlier Flags

> Animation Budgets — Trailing Mean Series + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Computes trailing mean time series and IQR-based outlier flags for animation budget records (bone_count and frame_ms) across up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-07-149?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/animation-budgets-trailing-mean-series-iqr-outlier-flags-7bf2aeb3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_W_pjA49ERn3rNtLs1yeUh

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability animation-budgets-trailing-mean-series-iqr-outlier-flags-7bf2aeb3 -d '<json body>'
```

Example prompt: Analyze my animation budget data for outliers — I have 50 rows with bone_count and frame_ms fields, grouped by game_area, with dates from 2026-10-01 onward. Use a trailing window of 5 and flag outliers using IQR for the bone_count field.

## When to prefer this

Choose this endpoint when you have animation budget records with bone_count and/or frame_ms measurements and need both a rolling mean trend series and IQR-based outlier detection in a single call for up to 200 rows. It is ideal for game developers auditing animation performance budgets, detecting frame time anomalies, or monitoring bone count health across game areas without requiring any external data sources or predictions.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size larger than number of rows — trailing mean may be undefined for early rows
- Null values in bone_count or frame_ms — may affect IQR and mean calculations
- Invalid field enum value (not bone_count or frame_ms) — schema rejection

## How this service works

Animation budgets — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied animation budgets records (bone_count, frame_ms). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) a trailing mean time series for the selected field (bone_count or frame_ms) computed over the specified rolling window, and (2) IQR-based outlier flags per row indicating which records fall outside the interquartile range. Both reports are computed locally against the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "game_area",
     "date",
     "bone_count",
     "frame_ms"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "frame_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "bone_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "frame_ms": 1,
     "game_area": "group-a",
     "bone_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "frame_ms": 2,
     "game_area": "group-b",
     "bone_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "frame_ms": 3,
     "game_area": "group-a",
     "bone_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "frame_ms": 4,
     "game_area": "group-b",
     "bone_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "bone_count",
    "frame_ms"
   ],
   "type": "string",
   "default": "bone_count"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-budgets-trailing-mean-series-iqr-outlier-flags-7bf2aeb3/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)